Trans-Proteomic Pipeline ========= Overview -------- The `Trans-Proteomic Pipeline `_ provides a complete workflow to generate spectral libraries suitable for OpenSWATH. Data sets acquired in data-dependent acquisition (DDA) or data-independent acquisition (DIA; preprocessed by DIA-Umpire [2]_) can be searched by spectrum-centric scoring against a reference FASTA database using several supported search engines. After statistical validation using PeptideProphet, iProphet & MAYU, a consensus spectral library is generated by SpectraST, which serves as final input for the OpenMS tool ``TargetedFileConverter``. Contact and Support ------------------- We provide support separately for the `TPP `_, the `msproteomicstools `_ and the `OpenMS `_ components of the workflow. Tutorial -------- A comprehensive tutorial [1]_ describes the individual steps to generate spectral libraries for SWATH-MS using the `Trans-Proteomic Pipeline (TPP) `_. Please follow the tutorial until the generation of SpectraST spectral libraries. If you are using DIA data, follow the `DIA-Umpire tutorial `_ to generate pseudo-spectra first, which can then be processed using the TPP. In the last step, import the SpectraST consensus library (format ``sptxt`` or ``splib``) and convert it to a ``MRM`` transition list: .. code-block:: bash # This will generate the file db_assays.mrm spectrast -cNdb_pqp -cICID-QTOF -cM db_consensus.splib Convert then the ``MRM`` transition list to a TraML spectral library and follow the remaining steps in the :doc:`generic` section. References ---------- .. [1] Schubert OT, Gillet LC, Collins BC, Navarro P, Rosenberger G, Wolski WE, Lam H, Amodei D, Mallick P, MacLean B, Aebersold R. Building high-quality assay libraries for targeted analysis of SWATH MS data. Nat Protoc. 2015 Mar;10(3):426-41. doi: 10.1038/nprot.2015.015. Epub 2015 Feb 12. PMID: 25675208 .. [2] Tsou CC, Avtonomov D, Larsen B, Tucholska M, Choi H, Gingras AC, Nesvizhskii AI. DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics. Nat Methods. 2015 Mar;12(3):258-64, 7 p following 264. doi: 10.1038/nmeth.3255. Epub 2015 Jan 19. PMID: 25599550